- Is there a ML book that doesn't shy out on the math? https://wikipedia.org/wiki/Hessian_matrix 32 comments learnmachinelearning
Linking pages
- Hamiltonian Dynamics in Haskell · in Code https://blog.jle.im/entry/hamiltonian-dynamics-in-haskell.html 15 comments
- Numerical Optimization: Understanding L-BFGS — aria42 http://aria42.com/blog/2014/12/understanding-lbfgs 14 comments
- Fitting a Model by Maximum Likelihood | R-bloggers https://www.r-bloggers.com/fitting-a-model-by-maximum-likelihood/ 14 comments
- Automatic Propagation of Uncertainty with AD · in Code https://blog.jle.im/entry/automatic-propagation-of-uncertainty-with-ad.html 13 comments
- Logistic Regression. The mother of all classification… | by joydeep bhattacharjee | Technology at Nineleaps | Medium https://medium.com/technology-nineleaps/logistic-regression-bac1db38cb8c 0 comments
- How does Batch Normalization Help Optimization? – gradient science https://gradientscience.org/batchnorm/ 0 comments
- Back-propagation, an introduction – Off the convex path http://www.offconvex.org/2016/12/20/backprop/ 0 comments
- Hessian Surfaces | Mathematical Institute https://www.maths.ox.ac.uk/about-us/departmental-art/cubic-surfaces/hessian-surfaces 0 comments
- Low-precision arithmetic makes robot localization more efficient - Amazon Science https://www.amazon.science/blog/low-precision-arithmetic-makes-robot-localization-more-efficient 0 comments
- Neural network pruning with combinatorial optimization – Google Research Blog https://ai.googleblog.com/2023/08/neural-network-pruning-with.html 0 comments
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